@@ -157,13 +157,13 @@ def _entry(model_name, paper_model_name, paper_arxiv_id, batch_size=BATCH_SIZE,
157157 _entry ('ig_resnext101_32x16d' , 'ResNeXt-101 32x16d' , '1805.00932' ),
158158 _entry ('ig_resnext101_32x32d' , 'ResNeXt-101 32x32d' , '1805.00932' , batch_size = BATCH_SIZE // 2 ),
159159 _entry ('ig_resnext101_32x48d' , 'ResNeXt-101 32x48d' , '1805.00932' , batch_size = BATCH_SIZE // 4 ),
160- _entry ('ig_resnext101_32x8d (288x288 Mean-Max Pooling)' , 'ResNeXt-101 32x8d ' , '1805.00932' ,
160+ _entry ('ig_resnext101_32x8d' , 'ResNeXt-101 32x8d (288x288 Mean-Max Pooling)' , '1805.00932' ,
161161 ttp = True , args = dict (img_size = 288 )),
162- _entry ('ig_resnext101_32x16d (288x288 Mean-Max Pooling)' , 'ResNeXt-101 32x16d ' , '1805.00932' ,
162+ _entry ('ig_resnext101_32x16d' , 'ResNeXt-101 32x16d (288x288 Mean-Max Pooling)' , '1805.00932' ,
163163 ttp = True , args = dict (img_size = 288 ), batch_size = BATCH_SIZE // 2 ),
164- _entry ('ig_resnext101_32x32d (288x288 Mean-Max Pooling)' , 'ResNeXt-101 32x32d ' , '1805.00932' ,
164+ _entry ('ig_resnext101_32x32d' , 'ResNeXt-101 32x32d (288x288 Mean-Max Pooling)' , '1805.00932' ,
165165 ttp = True , args = dict (img_size = 288 ), batch_size = BATCH_SIZE // 4 ),
166- _entry ('ig_resnext101_32x48d (288x288 Mean-Max Pooling)' , 'ResNeXt-101 32x48d ' , '1805.00932' ,
166+ _entry ('ig_resnext101_32x48d' , 'ResNeXt-101 32x48d (288x288 Mean-Max Pooling)' , '1805.00932' ,
167167 ttp = True , args = dict (img_size = 288 ), batch_size = BATCH_SIZE // 8 ),
168168
169169 ## DLA official impl weights (to remove if sotabench added to source)
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